Ventilation Diagnosis of Angle Grinder Using Thermal Imaging.
angle grinder
diagnosis
fault detection
image processing
power tool
thermal images
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
18 Apr 2021
18 Apr 2021
Historique:
received:
22
03
2021
revised:
12
04
2021
accepted:
16
04
2021
entrez:
30
4
2021
pubmed:
1
5
2021
medline:
1
5
2021
Statut:
epublish
Résumé
The paper presents an analysis and classification method to evaluate the working condition of angle grinders by means of infrared (IR) thermography and IR image processing. An innovative method called BCAoMID-F (Binarized Common Areas of Maximum Image Differences-Fusion) is proposed in this paper. This method is used to extract features of thermal images of three angle grinders. The computed features are 1-element or 256-element vectors. Feature vectors are the sum of pixels of matrix
Identifiants
pubmed: 33919618
pii: s21082853
doi: 10.3390/s21082853
pmc: PMC8072699
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : AGH University of Science and Technology
ID : grant No. 16.16.120.773
Références
Sensors (Basel). 2019 May 13;19(9):
pubmed: 31086051
Sensors (Basel). 2020 Feb 07;20(3):
pubmed: 32046037
Entropy (Basel). 2018 Sep 13;20(9):
pubmed: 33265790
Entropy (Basel). 2019 Apr 07;21(4):
pubmed: 33267090